Business Intelligence, 4e (Sharda/Delen/Turban)
Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science
1) Computerized support is only used for organizational decisions that are responses to external
pressures, not for taking advantage of opportunities.
Answer: FALSE
Diff: 2 Page Ref: 3
2) During the early days of analytics, data was often obtained from the domain experts using
manual processes to build mathematical or knowledge-based models.
Answer: TRUE
Diff: 2 Page Ref: 13
3) Computer applications have moved from transaction processing and monitoring activities to
problem analysis and solution applications.
Answer: TRUE
Diff: 1 Page Ref: 11
4) Business intelligence (BI) is a specific term that describes architectures and tools only.
Answer: FALSE
Diff: 1 Page Ref: 16
5) The growth in hardware, software, and network capacities has had little impact on modern BI
innovations.
Answer: FALSE
Diff: 1 Page Ref: 11
6) Managing data warehouses requires special methods, including parallel computing and/or
Hadoop/Spark.
Answer: TRUE
Diff: 3 Page Ref: 11-12
7) Managing information on operations, customers, internal procedures and employee
interactions is the domain of cognitive science.
Answer: FALSE
Diff: 3 Page Ref: 12
8) Decision support system (DSS) and management information system (MIS) have precise
definitions agreed to by practitioners.
Answer: FALSE
Diff: 2 Page Ref: 13
9) In the 2000s, the DW-driven DSSs began to be called BI systems.
Answer: TRUE
Diff: 1 Page Ref: 14
1
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, 10) Major commercial business intelligence (BI) products and services were well established in
the early 1970s.
Answer: FALSE
Diff: 2 Page Ref: 15
11) Information systems that support such transactions as ATM withdrawals, bank deposits, and
cash register scans at the grocery store represent transaction processing, a critical branch of BI.
Answer: FALSE
Diff: 2 Page Ref: 19
12) Many business users in the 1980s referred to their mainframes as "the black hole," because
all the information went into it, but little ever came back and ad hoc real-time querying was
virtually impossible.
Answer: TRUE
Diff: 2 Page Ref: 20
13) Successful BI is a tool for the information systems department, but is not exposed to the
larger organization.
Answer: FALSE
Diff: 2 Page Ref: 20
14) BI represents a bold new paradigm in which the company's business strategy must be aligned
to its business intelligence analysis initiatives.
Answer: FALSE
Diff: 2 Page Ref: 20-21
15) Traditional BI systems use a large volume of static data that has been extracted, cleansed,
and loaded into a data warehouse to produce reports and analyses.
Answer: TRUE
Diff: 2 Page Ref: 21
16) Demands for instant, on-demand access to dispersed information decrease as firms
successfully integrate BI into their operations.
Answer: FALSE
Diff: 3 Page Ref: 21
17) The use of dashboards and data visualizations is seldom effective in identifying issues in
organizations, as demonstrated by the Silvaris Corporation Case Study.
Answer: FALSE
Diff: 2 Page Ref: 24
18) The use of statistics in baseball by the Oakland Athletics, as described in the Moneyball case
study, is an example of the effectiveness of prescriptive analytics.
Answer: TRUE
Diff: 2 Page Ref: 5
2
Copyright © 2018 Pearson Education, Inc.
Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science
1) Computerized support is only used for organizational decisions that are responses to external
pressures, not for taking advantage of opportunities.
Answer: FALSE
Diff: 2 Page Ref: 3
2) During the early days of analytics, data was often obtained from the domain experts using
manual processes to build mathematical or knowledge-based models.
Answer: TRUE
Diff: 2 Page Ref: 13
3) Computer applications have moved from transaction processing and monitoring activities to
problem analysis and solution applications.
Answer: TRUE
Diff: 1 Page Ref: 11
4) Business intelligence (BI) is a specific term that describes architectures and tools only.
Answer: FALSE
Diff: 1 Page Ref: 16
5) The growth in hardware, software, and network capacities has had little impact on modern BI
innovations.
Answer: FALSE
Diff: 1 Page Ref: 11
6) Managing data warehouses requires special methods, including parallel computing and/or
Hadoop/Spark.
Answer: TRUE
Diff: 3 Page Ref: 11-12
7) Managing information on operations, customers, internal procedures and employee
interactions is the domain of cognitive science.
Answer: FALSE
Diff: 3 Page Ref: 12
8) Decision support system (DSS) and management information system (MIS) have precise
definitions agreed to by practitioners.
Answer: FALSE
Diff: 2 Page Ref: 13
9) In the 2000s, the DW-driven DSSs began to be called BI systems.
Answer: TRUE
Diff: 1 Page Ref: 14
1
Copyright © 2018 Pearson Education, Inc.
, 10) Major commercial business intelligence (BI) products and services were well established in
the early 1970s.
Answer: FALSE
Diff: 2 Page Ref: 15
11) Information systems that support such transactions as ATM withdrawals, bank deposits, and
cash register scans at the grocery store represent transaction processing, a critical branch of BI.
Answer: FALSE
Diff: 2 Page Ref: 19
12) Many business users in the 1980s referred to their mainframes as "the black hole," because
all the information went into it, but little ever came back and ad hoc real-time querying was
virtually impossible.
Answer: TRUE
Diff: 2 Page Ref: 20
13) Successful BI is a tool for the information systems department, but is not exposed to the
larger organization.
Answer: FALSE
Diff: 2 Page Ref: 20
14) BI represents a bold new paradigm in which the company's business strategy must be aligned
to its business intelligence analysis initiatives.
Answer: FALSE
Diff: 2 Page Ref: 20-21
15) Traditional BI systems use a large volume of static data that has been extracted, cleansed,
and loaded into a data warehouse to produce reports and analyses.
Answer: TRUE
Diff: 2 Page Ref: 21
16) Demands for instant, on-demand access to dispersed information decrease as firms
successfully integrate BI into their operations.
Answer: FALSE
Diff: 3 Page Ref: 21
17) The use of dashboards and data visualizations is seldom effective in identifying issues in
organizations, as demonstrated by the Silvaris Corporation Case Study.
Answer: FALSE
Diff: 2 Page Ref: 24
18) The use of statistics in baseball by the Oakland Athletics, as described in the Moneyball case
study, is an example of the effectiveness of prescriptive analytics.
Answer: TRUE
Diff: 2 Page Ref: 5
2
Copyright © 2018 Pearson Education, Inc.
